Tianyu Cao

Orcid: 0000-0001-8592-7267

Affiliations:
  • Amazon.com Inc, Palo Alto, CA, USA
  • University of Vermont, Department of Computer Science, Burlington, VT, USA


According to our database1, Tianyu Cao authored at least 19 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR, 2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.
CoRR, 2022

ROSE: Robust Caches for Amazon Product Search.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Query Attribute Recommendation at Amazon Search.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2014
Learning the information diffusion probabilities by using variance regularized EM algorithm.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2012
ProteinNET: A Protein Interaction Network Integration System.
Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012

2011
Subkilometer crater discovery with boosting and transfer learning.
ACM Trans. Intell. Syst. Technol., 2011

Maximizing influence spread in modular social networks by optimal resource allocation.
Expert Syst. Appl., 2011

Active Learning of Model Parameters for Influence Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
OASNET: an optimal allocation approach to influence maximization in modular social networks.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009


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